South Dakota State University Remote Sensing Activities:
Applying the Landsat archive to detect ecological thresholds in West African tropical forests (Francis Dwomoh & Michael Wimberly, SDSU GSCE) .pptx.pdf
The use of nested segmentation active-learning for large area Landsat tree cover classification (Alexey Egorov, David Roy & Matt Hansen, SDSU GSCE & University Maryland) .pptx.pdf
Characterizing land surface phenologies in the highlands of Kyrgyzstan through synergistic use of Landsat and MODIS data (Geoffrey Henebry, Cole Krehbiel, Monika Tomaszewska, & Kamilya Kelgenbaeva, SDSU GSCE) .pptx.pdf
The potential of Landsat-like Sentinel-2 multi-spectral instrument (MSI) data for burned area discrimination (Haiyan Huang & David Roy, SDSU GSCE) .pptx.pdf
Deep Convective Cloud (DCC) Calibration for Landsat 8 OLI Coastal Aerosol and Cirrus Bands (Larry Leigh, SDSU Image Processing Lab) .pptx.pdf
Algodones Dunes – A Surrogate for Libya 4 (Dave Aaron, SDSU Image Processing Lab) .pptx.pdf
Robust gap filling of Landsat reflectance time series by spectral-angle-mapper based spatio-temporal similarity – demonstration over dynamic U.S. agricultural landscapes (Lin Yan & David Roy, SDSU GSCE) .pptx.pdf
Landsat 5 Thematic Mapper reflectance and NDVI 27-year time series inconsistencies due to satellite orbit change (Hankui Zhang & David Roy, SDSU GSCE) .pptx.pdf
Variation of land surface phenology derived from Landsat 7 and 8 data across the Tibetan Plateau (Xiaoyang Zhang & Shuai An, SDSU GSCE) .pptx.pdf
Landsat represents the world's longest continuously acquired collection of space-based moderate-resolution land remote sensing data. Four decades of imagery provides a unique resource for those who work in agriculture, geology, forestry, regional planning, education, mapping, and global change research. Landsat images are also invaluable for emergency response and disaster relief.
The Landsat Update is an informal communication tool, prepared periodically and distributed electronically to USGS Landsat partners, to provide information about Landsat activities and related topics of interest.